Continuous-data diagnostic tests for paratuberculosis as a multistage disease

Nils Toft, Søren Saxmose Nielsen, Erik Jørgensen

    16 Citationer (Scopus)

    Abstract

    We devised a general method for interpretation of multistage diseases using continuous-data diagnostic tests. As an example, we used paratuberculosis as a multistage infection with 2 stages of infection as well as a noninfected state. Using data from a Danish research project, a fecal culture testing scheme was linked to an indirect ELISA and adjusted for covariates (parity, age at first calving, and days in milk). We used the log-transformed optical densities in a Bayesian network to obtain the probabilities for each of the 3 infection stages for a given optical density (adjusted for covariates). The strength of this approach was that the uncertainty associated with a test was imposed directly on the individual test result rather than aggregated into the population-based measures of test properties (i.e., sensitivity and specificity)
    OriginalsprogEngelsk
    TidsskriftJournal of Dairy Science
    Vol/bind88
    Udgave nummer11
    Sider (fra-til)3923-3931
    Antal sider9
    ISSN0022-0302
    DOI
    StatusUdgivet - 2005

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